Podknife - Prequisites for Time Series by Data Skeptic

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Prequisites for Time Series

Podcast |: Data Skeptic
Publisher |: Kyle Polich
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Data Science,; Interview,; Natural Sciences,; Science & Medicine,; Technology
Categories Via RSS |: Mathematics,; Science,; Technology
Publication Date |: May 21, 2021
Episode Duration |: 00:08:41

Today's experimental episode uses sound to describe some basic ideas from time series.

This episode includes lag, seasonality, trend, noise, heteroskedasticity, decomposition, smoothing, feature engineering, and deep learning.

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